Advanced Predictive Maintenance System

Faculty Led by: Dr. Seema Ansari
IoT Lab Engineers: Adeet Kumar, Rahul Ludhwani
Department: IoT Department / ORIC
Category: Science, Product, IoT Technology, Embedded System 

Forum Where Registered / Performed / Displayed etc: 

The project was displayed at the Expo Center during the SHEC Exhibition and also showcased at the SHEC Project Exhibition held at Sindh Madressatul Islam University (SMIU).

Status: Completed 

Field of Use:
Industrial Automation, Energy Management, Smart Manufacturing, Predictive Maintenance

Brief Activity Report:

This enhanced version of predictive maintenance goes beyond basic machine health monitoring by including electrical performance indicators such as power consumption, voltage, current, and overcurrent detection. It provides a holistic view of machine behavior electrical data for accurate failure prediction and optimized maintenance planning.